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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Shun-Cheng Chang Hsin-Pei Yu Yi-Hsien Hsieh Pochuang Wang Weichung Wang Tung-Hung Su Jia-Horng Kao Che Lin Graduate Institute of Communication Engineering National Taiwan University (NTU) Taipei Taiwan Department of Computer Science and Information Engineering NTU Taipei Taiwan Institute of Applied Mathematical Sciences NTU Taipei Taiwan Department of Internal Medicine Division of Gastroenterology and Hepatology National Taiwan University Hospital Taipei Taiwan Department of Electrical Engineering NTU Taipei Taiwan Center for Advanced Computing and Imaging in Biomedicine NTU Taipei Taiwan Smart Medicine and Health Informatics Program NTU Taipei Taiwan

ISBN: (数字)9798350351552

ISBN: (纸本)9798350351569

Deep learning has revolutionized medical imaging, offering advanced methods for accurate diagnosis and treatment planning. The BCLC staging system is crucial for staging Hepatocellular Carcinoma (HCC), a high-mortality cancer. An automated BCLC staging system could significantly enhance diagnosis and treatment planning efficiency. However, we found that BCLC staging, which is directly related to the size and number of liver tumors, aligns well with the principles of the Multiple Instance Learning (MIL) framework. To effectively achieve this, we proposed a new preprocessing technique called Masked Cropping and Padding(MCP), which addresses the variability in liver volumes and ensures consistent input sizes. This technique preserves the structural integrity of the liver, facilitating more effective learning. Furthermore, we introduced Re ViT, a novel hybrid model that integrates the local feature extraction capabilities of Convolutional Neural Networks (CNNs) with the global context modeling of Vision Transformers (ViTs). Re ViT leverages the strengths of both architectures within the MIL framework, enabling a robust and accurate approach for BCLC staging. We will further explore the trade-off between performance and interpretability by employing TopK Pooling strategies, as our model focuses on the most informative instances within each bag.

关键词： Visualization Accuracy Three-dimensional displays Liver Transformers Planning Convolutional neural networks Context modeling Biomedical imaging Tumors

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Demagnetization analysis and magnet design of permanent magnet synchronous motor for electric power steering applications 1

Demagnetization analysis and magnet design of permanent magn...

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1st IEEE China International Youth Conference on electrical engineering, CIYCEE 2020

作者： Huang, Weihua Wang, Jin Zhao, Junchen Zhou, Libing Zhang, Zhiwei Huazhong University of Science and Technology State Key Laboratory of Advanced Elec-tromagnetic Engineering and Technology School of Electrical and Electronic Engineering Wuhan430074 China The Ohio State University Department of Electrical and Computer Engineering ColumbusOH43210 United States

ISBN: (纸本)9781728196596

The demagnetization analysis method of permanent magnet synchronous motor (PMSM) used in electric power steering (EPS) system is studied, and the size of permanent magnet (PM) is optimized considering demagnetization performance and manufacturing cost in this paper. PMSM has the advantages of high torque density and high efficiency, which is suitable for EPS system. However, the PMs may demagnetize at a high temperature or by a larger reverse magnetic field, which will affect the torque characteristics or output power of the motor, eventually resulting in the failure to drive the load and also reducing the reliability of the EPS system. In order to deal with these problems, it is necessary to consider demagnetization in the analysis stage. In addition, EPS systems are sensitive to cost since PM material is expensive, so it is necessary to restrain irreversible demagnetization under the condition of minimizing the volume of PM. A demagnetization analysis method based on 2D and 3D finite element analysis (FEA) for PMSM in EPS systems is proposed and the size of PM is mainly designed. Based on the computation of the distribution of magnetic flux density on the surface of PM, the demagnetization risk is evaluated. The simulation and experiment results clearly show that the proposed PMSM design can meet the requirements of EPS system. © 2020 IEEE.

关键词： Finite element method

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Networked micro-grid topologies for transactive energy management system: An overview and future perspectives

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Scientific African 2024年 26卷

作者： Torto, Stephen Oko Gyan Pachauri, Rupendra Kumar Singh, Jai Govind Khan, Baseem Ali, Ahmed Electrical Cluster School of Advanced Engineering UPES Uttarakhand Dehradun 248007 India Miyan Research Institute International University of Business Agriculture and Technology Dhaka 1230 Bangladesh Department of Energy Environment and Climate Change School of Environmental Resource and Development Asian Institute of Technology Thailand Department of Electrical and Computer Engineering Hawassa University Hawassa 05 Ethiopia Department of Electrical and Electronic Engineering Technology Faculty of Engineering and the Built Environment university of Johannesburg South Africa Center for Renewable Energy and Microgrids Huanjiang Laboratory Zhejiang University Zhejiang 311816 China

Networked micro-grid topologies are important for several reasons. First, they make it possible to connect decentralized energy sources like solar PV installations, micro- and mini-scale wind turbines, etc., to the main power grid. This has the potential to lessen the grid's reliance on fossil fuels while also improving its efficiency and dependability. Second, micro-grids can provide a level of resilience to the grid, as they can operate independently during power outages or other disruptions. This can be particularly important in disaster-prone areas or for critical infrastructure such as hospitals or emergency services. The problems that arise from managing the current or conventional power grid can be alleviated, in part, with the use of TEM. This study will introduce TEM and discuss its usefulness in several contexts, including the energy market, grid design, and functioning. Also, discuss the various existing power generation players involved in the development of market structure frameworks. This study concludes and highlights the significant role and effectiveness of energy system schemes for power exchange networked management systems. In addition, to the future perspective and power demand, attention to the de-centralized micro-grid model makes a comparison to the centralized and partially de-centralized topologies based on the Pros and Cons of the present study. In summary, networked micro-grid topologies play a crucial role in improving grid efficiency and dependability, ensuring continued service during blackouts, and fostering the widespread use of renewable energy sources. © 2024

关键词： Decentralized micro-grids Energy market Networked micro-grid Transactive energy management

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Efficient Qubit Calibration by Binary-Search Hamiltonian Tracking

arXiv

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arXiv 2025年

作者： Berritta, Fabrizio Benestad, Jacob Pahl, Lukas Mathews, Melvin Krzywda, Jan A. Assouly, Réouven Sung, Youngkyu Kim, David K. Niedzielski, Bethany M. Serniak, Kyle Schwartz, Mollie E. Yoder, Jonilyn L. Chatterjee, Anasua Grover, Jeffrey A. Danon, Jeroen Oliver, William D. Kuemmeth, Ferdinand Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Center for Quantum Devices Niels Bohr Institute University of Copenhagen Copenhagen2100 Denmark Center for Quantum Spintronics Department of Physics Norwegian University of Science and Technology TrondheimNO-7491 Norway Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Department of Information Technology and Electrical Engineering ETH Zürich Zürich8093 Switzerland 〈aQaL〉 Applied Quantum Algorithms — Lorentz Insitute for Theoretical Physics & Leiden Institute of Advanced Computer Science Universiteit Leiden Netherlands Lincoln Laboratory Massachusetts Institute of Technology LexingtonMA02421 United States QuTech and Kavli Institute of Nanoscience Delft University of Technology Delft Netherlands Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Institute of Experimental and Applied Physics University of Regensburg Regensburg93040 Germany QDevil Quantum Machines Ballerup2750 Denmark

We present a real-time method for calibrating the frequency of a resonantly driven qubit. The real-time processing capabilities of a classical controller dynamically generate adaptive probing sequences for qubit-frequency estimation. Each probing evolution time and drive frequency are calculated to divide the prior probability distribution into two branches, following a locally optimal strategy that mimics a conventional binary search. We show the algorithm’s efficacy by stabilizing a flux-tunable transmon qubit, leading to improved coherence and gate fidelity. By feeding forward the updated qubit frequency, the FPGA-powered control electronics partially mitigates non-Markovian noise in the system, which is detrimental to quantum error correction. Our protocol highlights the importance of feedback in improving the calibration and stability of qubits subject to drift and can be readily applied to other qubit platforms. © 2025, CC BY.

关键词： Hamiltonians

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Sequential anomaly detection under sampling constraints

arXiv

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arXiv 2021年

作者： Tsopelakos, Aristomenis Fellouris, Georgios The Electrical and Computer Engineering Department The Coordinated Science Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States The Department of Statistics The Electrical and Computer Engineering Department The Coordinated Science Laboratory University of Illinois at Urbana-Champaign ChampaignIL61820 United States

The problem of sequential anomaly detection is considered, where multiple data sources are monitored in real time and the goal is to identify the "anomalous" ones among them, when it is not possible to sample all sources at all times. A detection scheme in this context requires specifying not only when to stop sampling and which sources to identify as anomalous upon stopping, but also which sources to sample at each time instance until stopping. A novel formulation for this problem is proposed, in which the number of anomalous sources is not necessarily known in advance and the number of sampled sources per time instance is not necessarily fixed. Instead, an arbitrary lower bound and an arbitrary upper bound are assumed on the number of anomalous sources, and the fraction of the expected number of samples over the expected time until stopping is required to not exceed an arbitrary, user-specified level. In addition to this sampling constraint, the probabilities of at least one false alarm and at least one missed detection are controlled below user-specified tolerance levels. A general criterion is established for a policy to achieve the minimum expected time until stopping to a first-order asymptotic approximation as the two familywise error rates go to zero. Moreover, the asymptotic optimality is established of a family of policies that sample each source at each time instance with a probability that depends on past observations only through the current estimate of the subset of anomalous sources. This family includes, in particular, a novel policy that requires minimal computation under any setup of the problem. © 2021, CC BY.

关键词： Anomaly detection

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Regulating surface potential maximizes voltage in all-perovskite tandems (vol 613, pg 676, 2022)

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NATURE 2023年第7973期620卷 E15-E15页

作者： Chen, Hao Maxwell, Aidan Li, Chongwen Teale, Sam Chen, Bin Zhu, Tong Ugur, Esma Harrison, George Grater, Luke Wang, Junke Wang, Zaiwei Zeng, Lewei Park, So Min Chen, Lei Serles, Peter Awni, Rasha Abbas Subedi, Biwas Zheng, Xiaopeng Xiao, Chuanxiao Podraza, Nikolas J. Filleter, Tobin Liu, Cheng Yang, Yi Luther, Joseph M. De Wolf, Stefaan Kanatzidis, Mercouri G. Yan, Yanfa Sargent, Edward H. The Edward S. Rogers Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada Department of Physics and Astronomy and Wright Center for Photovoltaics Innovation and Commercialization The University of Toledo Toledo OH USA Department of Chemistry Northwestern University Evanston IL USA Department of Electrical and Computer Engineering Northwestern University Evanston IL USA KAUST Solar Center Physical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal Kingdom of Saudi Arabia Department of Mechanical and Industrial Engineering University of Toronto Toronto Ontario Canada National Renewable Energy Laboratory Golden CO USA

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Unpaired Quad-Path Cycle Consistent Adversarial Networks for Single Image Defogging

arXiv

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arXiv 2022年

作者： Liu, Wei Chen, Cheng Jiang, Rui Lu, Tao Xiong, Zixiang School of Computer Science and Engineering Wuhan Institute of Technology Wuhan430205 China Hubei Key Laboratory of Intelligent Robot Wuhan Institute of Technology Wuhan430205 China Department of Electrical and Computer Engineering Texas A&M University College StationTX77843 United States

Adversarial learning-based image defogging methods have been extensively studied in computer vision due to their remarkable performance. However, most existing methods have limited defogging capabilities for real cases because they are trained on the paired clear and synthesized foggy images of the same scenes. In addition, they have limitations in preserving vivid color and rich textual details in defogging. To address these issues, we develop a novel generative adversarial network, called quad-path cycle consistent adversarial network (QPC-Net), for single image defogging. QPC-Net consists of a Fog2Fogfree block and a Fogfree2Fog block. In each block, there are three learning-based modules, namely, fog removal, color-texture recovery, and fog synthetic, which sequentially compose dual-path that constrain each other to generate high quality images. Specifically, the color-texture recovery model is designed to exploit the self-similarity of texture and structure information by learning the holistic channel-spatial feature correlations between the foggy image with its several derived images. Moreover, in the fog synthetic module, we utilize the atmospheric scattering model to guide it to improve the generative quality by focusing on an atmospheric light optimization with a novel sky segmentation network. Extensive experiments on both synthetic and real-world datasets show that QPC-Net outperforms state-of-the-art defogging methods in terms of quantitative accuracy and subjective visual quality. Copyright © 2022, The Authors. All rights reserved.

关键词： Image segmentation

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Edge Learning for Large-Scale Internet of Things With Task-Oriented Efficient Communication

arXiv

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arXiv 2023年

作者： Xie, Haihui Xia, Minghua Wu, Peiran Wang, Shuai Poor, H. Vincent The School of Electronics and Information Technology Sun Yat-Sen University Guangzhou510006 China The Southern Marine Science and Engineering Guangdong Laboratory Zhuhai519082 China The Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

In the Internet of Things (IoT) networks, edge learning for data-driven tasks provides intelligent applications and services. As the network size becomes large, different users may generate distinct datasets. Thus, to suit multiple edge learning tasks for large-scale IoT networks, this paper performs efficient communication under the task-oriented principle by using the collaborative design of wireless resource allocation and edge learning error prediction. In particular, we start with multi-user scheduling to alleviate co-channel interference in dense networks. Then, we perform optimal power allocation in parallel for different learning tasks. Thanks to the high parallelization of the designed algorithm, extensive experimental results corroborate that the multi-user scheduling and task-oriented power allocation improve the performance of distinct edge learning tasks efficiently compared with the state-of-the-art benchmark algorithms. © 2023, CC BY-NC-SA.

关键词： Internet of things

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Ultra-Sensitive SERS Detection of Aβ 1−42 for Alzheimer's Disease Using Graphene Oxide/Gold Nanohybrids

SSRN

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SSRN 2023年

作者： Wang, Luyao Chen, Hui Ma, Shaojun Ma, Pei Chang, Min Chen, Nan Zhang, Xuedian Key Laboratory of Optical Technology and Instrument for Medicine Ministry of Education College of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Department of Geriatrics Shanghai Ninth People’s Hospital Shanghai Jiao Tong University School of Medicine Shanghai China School of Electrical Engineering Nantong University Nantong226019 China

Alzheimer's disease (AD) is an irreversible neurodegenerative brain disorder and the most common cause of dementia with significant social and economic impact. Despite the severity and prevalence of AD, early diagnosis of AD remains quite challenging. One of the important markers of neuropathology in AD patients is the aggregation of Aβ1−42 monomers into oligomers, which then become fibrils and eventually form beta-amyloid plaques. Herein, a highly sensitive surface-enhanced Raman spectroscopy (SERS) method based on graphene oxide/gold nanoparticles (GO/Au NPs) for the detection of Aβ 1−42 is proposed. Specifically, Au NPs were deposited on the GO surface by in situ reduction to form high-density hot spots for SERS. The limits of detection are 0.0232 ng mL-1 and 0.0192 ng mL-1 for Aβ1-42 monomer and fibrils. In addition, support vector machine (SVM) and one-dimensional convolutional neural network (1DCNN) algorithm were used to identify samples with different fibrils degrees. SERS is expected to be used for label-free diagnosis and early detection of AD, which has exciting potential for biomedical detection. © 2023, The Authors. All rights reserved.

关键词： Monomers

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Resource Allocation for Cell-Free Massive MIMO-aided URLLC Systems Relying on Pilot Sharing

arXiv

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arXiv 2023年

作者： Peng, Qihao Ren, Hong Dong, Mianxiong Elkashlan, Maged Wong, Kai-Kit Hanzo, Lajos School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom National Mobile Communications Research Laboratory Southeast University Nanjing China Department of Information and Electronic Engineering Muroran Institute of Technology Muroran050-8585 Japan Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Resource allocation is conceived for cell-free (CF) massive multi-input multi-output (MIMO)-aided ultra-reliable and low latency communication (URLLC) systems. Specifically, to support multiple devices with limited pilot overhead, pilot reuse among the users is considered, where we formulate a joint pilot length and pilot allocation strategy for maximizing the number of devices admitted. Then, the pilot power and transmit power are jointly optimized while simultaneously satisfying the devices’ decoding error probability, latency, and data rate requirements. Firstly, we derive the lower bounds (LBs) of ergodic data rate under finite channel blocklength (FCBL). Then, we propose a novel pilot assignment algorithm for maximizing the number of devices admitted. Based on the pilot allocation pattern advocated, the weighted sum rate (WSR) is maximized by jointly optimizing the pilot power and payload power. To tackle the resultant NP-hard problem, the original optimization problem is first simplified by sophisticated mathematical transformations, and then approximations are found for transforming the original problems into a series of subproblems in geometric programming (GP) forms that can be readily solved. Simulation results demonstrate that the proposed pilot allocation strategy is capable of significantly increasing the number of admitted devices and the proposed power allocation achieves substantial WSR performance gain. Copyright © 2023, The Authors. All rights reserved.

关键词： Resource allocation

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